Identification and comparison of factors behind mental turbulence of public and private university students

Identification and comparison of factors behind mental turbulence of public and private university students

This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2021.

Dettagli Bibliografici
Autori principali:	Tahsin, Md. Akil, Hannan, Sumaiya, Shifa, Fabiha Rumman
Altri autori:	Chakrabarty, Amitabha
Natura:	Tesi
Lingua:	English
Pubblicazione:	Brac University 2021
Soggetti:	Data Mining Machine Learning Frequent Feature Association Rule Apriori Logistic Regression KNN K-Nearest Neighbour Random Forest Regression SMOTE Synthetic Minority Oversampling Technique MAE R-Squared Optimization Identification Depression Mental Health University Public University Private University Bangladesh Social Impact PHQ-9 Data mining
Accesso online:	http://hdl.handle.net/10361/14990

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